In my opinion, the reporting side of this tool needs serious improvements. In my previous company, we worked with Hitachi Lumada Data Integration and while it does a good job for what it’s worth, it can definitely up its reporting features. While I used it, there were plenty of basic components I felt that it missed. For example, it did not provide the option to search the repository for a report. I feel like this is a huge miss out since it would save on a lot of manual searching. If they upped their game there, I would be among the first to recommend it.
I do not see any big problems with this solution. It works very well for my company, a medium-sized one. We have been using it for a while now and the only issue I have caught during that time is with caching. We had to integrate a larger data set once and then we encountered a slight problem with the tool. We were used to its high speed with all operations but with the larger data set, things got slower than usual. I am not sure if it was a one-time thing or if it is common, so you may want to look into that if you are a big data company.
Learn what your peers think about Pentaho Data Integration and Analytics. Get advice and tips from experienced pros sharing their opinions. Updated: April 2026.
Pentaho Data Integration and Analytics offers an intuitive platform for data workflows, enabling users to easily manage ETL processes across diverse data formats, ensuring seamless automation and development.With its drag-and-drop interface, Pentaho allows for efficient ETL workflows without extensive coding. It supports a multitude of data formats and sources such as SQL, NoSQL, Hadoop, CSV, and JSON. Advanced features like metadata injection and API integration enable seamless automation....
In my opinion, the reporting side of this tool needs serious improvements. In my previous company, we worked with Hitachi Lumada Data Integration and while it does a good job for what it’s worth, it can definitely up its reporting features. While I used it, there were plenty of basic components I felt that it missed. For example, it did not provide the option to search the repository for a report. I feel like this is a huge miss out since it would save on a lot of manual searching. If they upped their game there, I would be among the first to recommend it.
I do not see any big problems with this solution. It works very well for my company, a medium-sized one. We have been using it for a while now and the only issue I have caught during that time is with caching. We had to integrate a larger data set once and then we encountered a slight problem with the tool. We were used to its high speed with all operations but with the larger data set, things got slower than usual. I am not sure if it was a one-time thing or if it is common, so you may want to look into that if you are a big data company.